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Modeling Gamma-Ray Burst Spectra with Convolutional Neural Networks: Fast-cooling Synchrotron Emission in a Decaying Magnetic Field

  • Authors: Jia-Ming Chen, Ke-Rui Zhu, Shan Chang, Zhao-Yang Peng, Yong-Gang Zheng, Li Zhang

Jia-Ming Chen et al 2026 The Astrophysical Journal 1005 .

  • Provider: AAS Journals

Caption: Figure A1.

Comparison between the CNN-emulated spectrum and the original numerical spectrum at the fitted parameters of the high-flux peak interval 6.35–6.52 s. The upper panel shows the two spectra, and the lower panel shows the logarithmic residual ﹩{\rm{\Delta }}{\mathrm{log}}_{10}F={\mathrm{log}}_{10}{F}_{{\rm{CNN}}}-{\mathrm{log}}_{10}{F}_{{\rm{num}}}﹩. The median and 95th-percentile relative differences are 0.89% and 1.80%, respectively.

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